Simone Melzi is an Associate Professor at the University of Milano-Bicocca. He received his PhD in Computer Science from the University of Verona (2018) after graduating in Mathematics at the University of Milan (2013). He held postdoctoral positions at Sapienza University of Rome, École Polytechnique, and the University of Verona. His research focuses on geometry processing, 3D shape analysis, and Geometric deep learning. He was awarded the Eurographics Young Researcher Award , the EG-Italy PhD Thesis Award, a Marie-Curie Individual Fellowship (Seal of Excellence), and the BE-FOR-ERC grant. He is a Eurographics Junior Fellow and an ELLIS Scholar.

Daniele is a PostDoc researcher in the 3DiG group at University of Milano-Bicocca. His research interests lie in Computer Vision and 3D Graphics, in particular focusing on integration of neural shape representations in CG pipelines. He received his Ph.D. from Sapienza University of Rome in 2025, as well as his MSc (2021) and BSc (2019) degrees.

Lorenzo Olearo is a first-year PhD student at the University of Milano-Bicocca where he also obtained his Master’s Degree in Computer Science (2024). He is currently working under the supervision of Prof. Simone Melzi at the 3DiG lab, his research lies at the intersection between image generation and 3D geometry representations. Currently, he is exploring flow-based representations for 3D shapes and their applications.

Giulio Viganò is a PhD researcher in Computer Science with a background in Mathematics (M.Sc., University of Milan, recipient of the EG-Italy Best MSc Thesis Award). His work revolves around geometry processing and machine learning. He is particularly interested in developing machine learning techniques for spectral geometry processing, as well as in utilizing spectral geometry to enhance machine learning. He has collaborated with researchers at École Polytechnique and UC Santa Barbara. He is fascinated by the elegance of well-done things — from mathematics to carefully shaped ideas — and by the clarity that emerges from simplicity and structure.

Francesca Maccarone is a PhD researcher in Computer Science with a background in in Biomedical Engineering (B.Sc and M.Sc from Polytechnic University of Milan). She holds a cofoundend position shared by the 3DiG research lab under the supervision of Prof. Simone Melzi and the Cesne lab at the Eugenio Medea Research Institute (Bosisio Parini, LC). Her research interests center on shape analysis and machine learning, with applications in medical imaging and a particular emphasis on pediatric neuroimaging. She has a deep fascination for scientific communication and strongly believe in the democratization of scientific knowledge.

Alessandro Riva is a second year PhD student at the University of Milano-Bicocca and has a Master’s Degree in computer science. His research interests include geometry processing, computer vision and machine learning. He works in the 3DiG research lab under the supervision of Prof. Simone Melzi. Currently he’s exploring the use of geometric priors to boost 3D data architectures, with a focus on transformers, both in the context of point clouds and meshes for tasks such as shape matching and mesh generation. In his free time he enjoys photography and 3D art, passions that also drive his research interests in computer vision and geometry processing.

Filippo Maggioli is a Tenured Assistant Professor at Pegaso University. Previously, he was Postdoctoral Researcher at the University of Milano-Bicocca in the 3DiG research lab led by Simone Melzi, a Postdoctoral Researcher at Sapienza - University of Rome in the GLADIA research lab led by Emanuele Rodolà, and a Research Intern at the King Abdullah University of Science and Technology (KAUST) in the VCC research lab led by Peter Wonka. Filippo received his Ph.D. in Computer Science at Sapienza – University of Rome (2023), where he also graduated in Computer Science (2019). Filippo works on geometry processing, spectral geometry, and 3D shape analysis, but he is an active researcher also in other fields of computer graphics, such as procedural shading and physical simulations.

Giorgio Longari is a Researcher in Computer Science with a background in Mathematical Engineering (B.Sc. and M.Sc, Politecnico di Milano). He is currently working at the Wolfgang Pauli Institute in Vienna. His work revolves around Riemannian geometry, Computer Vision, and Machine learning with real world applications, particularly in the medical field. He also maintains active collaborations with academic institutions such as UC Santa Barbara and University of Milano Bicocca, as well as with Research Hospitals like IRCSS Humanitas and IRCSS E. Medea. He values research as a dialogue between structure and creativity, aiming to uncover clarity within complexity.